4 papers · 1 filter
MATA: Multi-Agent Framework for Reliable and Flexible Table Question Answering
Sieun Hyeon, Jusang Oh, Sunghwan Steve Cho +1
Recent advances in Large Language Models (LLMs) have significantly improved table understanding tasks such as Table Question Answering (TableQA), yet challenges remain in ensuring…
Dynin-Omni: Omnimodal Unified Large Diffusion Language Model
Jaeik Kim, Woojin Kim, Jihwan Hong +8
We present Dynin-Omni, the first masked-diffusion-based omnimodal foundation model that unifies text, image, and speech understanding and generation, together with video understand…
Don't Let It Fade: Preserving Edits in Diffusion Language Models via Token Timestep Allocation
Woojin Kim, Jaeyoung Do
While diffusion language models (DLMs) enable fine-grained refinement, their practical controllability remains fragile. We identify and formally characterize a central failure mode…
Aligning Large Language Models via Fine-grained Supervision
Dehong Xu, Liang Qiu, Minseok Kim +2
Pre-trained large-scale language models (LLMs) excel at producing coherent articles, yet their outputs may be untruthful, toxic, or fail to align with user expectations. Current ap…